Progress Logger is a simple, lightweight logger for your Python loops. Quickly see the current status of long loops, its estimated time remaining, and more useful stats!
Progress Logger works great right out of the box, with no customization required. When imported, it will overwrite the built-in enumerate() function. That's it!
from progresslogger import *
my_list = ['a', 'b', 'c', 'd', 'e']
for i, letter in enumerate(my_list):
execute_code(letter)
Output:
>>> Starting progress logger for 5 items.
>>> Iteration 1 of 5 (20.0%) complete. Approximately 4 seconds remaining.
>>> Iteration 2 of 5 (40.0%) complete. Approximately 3 seconds remaining.
>>> ...
>>> Loop complete! Average iteration time: 1.0 seconds
You may customize your logger and pass it directly to the enumerate() function:
my_logger = ProgressLogger(show_next_value=True)
for i, letter in enumerate(my_list, my_logger):
execute_code(letter)
Output:
>>> Starting progress logger for 5 items. Next value: "a".
>>> Iteration 1 of 5 (20.0%) complete. Approximately 4 seconds remaining. Next value: "b".
>>> Iteration 2 of 5 (40.0%) complete. Approximately 3 seconds remaining. Next value: "c".
>>> ...
If you'd like to retain the built-in enumerate() function, or you'd like to have both, you can use from progresslogger import ProgressLogger or import progresslogger and use progresslogger.enumerate(...).
You may wish to insert the log in the middle of a loop, or otherwise implement your logger yourself. Simply initialize ProgressLogger before the loop, and call my_logger.log() once each loop:
my_logger = ProgressLogger(my_list) # be sure to pass your collection when initializing your logger
for letter in my_list:
my_logger.log()
execute_code(letter)